Turn one authorized founder or expert portrait and a weekly script into a talking-head IP video in that person's likeness and voice. This founder avatar and digital avatar studio can clone that person's voice and produce a stable founder talking head clip for founder updates, expert explainers, and brand announcements. Use it for a digital human spokesperson, talking head founder series, expert avatar video, brand digital human, AI presenter, AI spokesperson video, and recurring presenter video.
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---
name: "founder-ip-avatar-studio"
description: "Turn one authorized founder or expert portrait and a weekly script into a talking-head IP video in that person's likeness and voice. This founder avatar and digital avatar studio can clone that person's voice and produce a stable founder talking head clip for founder updates, expert explainers, and brand announcements. Use it for a digital human spokesperson, talking head founder series, expert avatar video, brand digital human, AI presenter, AI spokesperson video, and recurring presenter video."
---
# Founder IP Avatar Studio
Turn one authorized likeness and voice into a recurring talking-head update.
The first run may create the voice. Later weeks reuse it.
## Scope and adjacent routes
Use this Skill when a founder, expert, or brand wants a weekly or campaign
talking-head clip from one stable portrait plus a short script.
Route a one-off presenter clip with no series plan to
`talking-avatar-video`. Route audio-only series work to
`voice-clone-series-studio`. Route a lecture series with many lessons to
`course-video-studio`. Without authorization for the likeness and the
voice, stop at confirmation and do not generate.
## Inputs and defaults
The hard inputs are:
- one accessible portrait the host Agent can inspect;
- either an approved speech track or a short script plus a voice path;
- whether the user owns or has been granted rights to the likeness and the
voice.
Reuse language, destination, framing, and the frozen `voice_id` from
earlier weeks. Default to one presenter clip, `model: "auto"` for video,
the portrait as the strict first frame, and a source-derived aspect ratio.
## Golden path
1. Inspect the portrait. Record MIME type, width, height, aspect ratio, byte
size, and whether it has an alpha channel. Confirm likeness rights. For a
local portrait or sample, upload only through the bundled client after
inspection. Never pass a local path to a remote tool.
2. If the series still needs a cloned voice, confirm consent first. Access
to a file is not consent. A suitable sample is currently about 10 to
300 seconds, no larger than 20 MiB, and clean single-speaker speech.
Call `beatra.models.list` with `{"capability":"voice_clone"}` and show
the clone admission card before any clone `client_request_id` or
`beatra.voices.clone` call: route `voice_clone`, tool
`beatra.voices.clone`, live price for one successful activated voice,
the provisional estimate, the 600-credit signup gift usually cannot
start this clone, and what happens if the balance is short. Do not
create `client_request_id` or submit until the user confirms they have
topped up or already have enough credits. Do not offer a free clone.
Submit `beatra.voices.clone` exactly once:
```json
{
"sample": {"type": "artifact", "artifact_id": "artifact_..."},
"display_name": "Founder Voice",
"consent_attested": true,
"model": "auto",
"client_request_id": "opaque-founder-clone"
}
```
Poll with `beatra.tasks.get` until terminal, then freeze the returned
`voice_id`. Otherwise call `beatra.voices.list` when a catalog voice
still needs to be selected. Never put a display name in `voice`.
3. If the user already supplied an approved speech track, skip synthesis
and admit that audio for video. For a script route, call
`beatra.models.list` with
`{"capability":"text_to_speech"}` and `{"capability":"image_to_video"}`.
Confirm that a current video card admits `[image, driving_audio]`. Compare
the portrait's actual MIME, dimensions, byte size, and alpha-channel
presence with every advertised image constraint. Confirm planned speech
can fit a video duration the route can fully contain. If the weekly
script is longer than the longest containable clip, split it into
sequential containable segments. Each segment is its own paid speech
call and its own paid video call, each with a new `client_request_id`.
Do not shorten words to cheapen a clip. Use `mp3` only when
the live speech card supports it and the live video card accepts
`audio/mpeg`. If the user requested `flac`, `opus`, or `pcm` and the
video route does not accept the resulting format, explain the
incompatibility before any paid call and obtain the user's choice. Do
not silently change the format. If any required media fact is
unavailable or incompatible, stop before TTS.
4. On the script route only, show the narration arguments and paid
boundary. Freeze the script, voice, format, and one speech
`client_request_id` per segment. Submit `beatra.speech.synthesize`
exactly once per segment through the bundled client. Skip this step
when approved speech already exists.
5. For each speech segment, or for the supplied approved track, poll
until terminal audio facts exist. On the script route, poll each
narration task with `beatra.tasks.get`. Read the returned artifact
plus actual `task.output.audio.mime_type`, `duration_seconds`, and
`size_bytes` when present. Approve the real audio before that
segment's video. Never treat a script preview, expected duration, or
task metadata as an audio review.
6. For each approved audio segment, refresh the `image_to_video` cards
and admit the actual portrait plus that audio. Recheck every image
fact and compare the audio's actual MIME, duration, and byte size
with the current driving-audio constraints. If terminal audio size
is absent, obtain it from trusted artifact metadata; if it remains
unavailable, stop before video. Use the smallest supported integer
video duration at or above the actual speech length. Show the video
admission card before any video `client_request_id` or
`beatra.videos.animate` call: route `image_to_video`, tool
`beatra.videos.animate`, approved portrait and speech artifacts,
prompt, audio-led duration, resolution if set, output count,
provisional live estimate, the fact that the 600-credit signup gift
usually cannot start this video, and what happens if the balance is
short. Do not submit until the user confirms they have topped up or
already have enough credits. Approved narration does not authorize
the video call.
7. Submit `beatra.videos.animate` exactly once per approved audio
segment. Do not configure a host Beatra Connector. Do not use
REST/OpenAPI as a fallback. Poll each video task with
`beatra.tasks.get` until terminal.
8. Deliver the returned clips in script order with actual dimensions,
duration, usage, and `billing.net_charged_credits`. Review identity,
clarity, lip timing, and must-keep drift.
## Decisions that require confirmation
Likeness and voice rights, clone admission, narration, and the video
admission card each require their own confirmation.
## Recovery
Each paid stage has its own frozen payload and ID. Recover a lost create
response only with that stage's identical payload. Recover a lost task
ID through `beatra.tasks.list` and `beatra.tasks.get`. Call
`beatra.tasks.cancel` only when the user asks to cancel that stage. On
`insufficient_balance`, keep the top-up URL inside the balance error
exact and retry the same frozen ID only after the user says they have
topped up. If a create returns no `task_id`, do not poll; reconcile
before minting a new ID.
## Account balance
When the user asks how many credits remain or whether a live estimate fits,
call `beatra.wallet.get`. When they ask what was charged, call
`beatra.wallet.ledger`. Both are read-only. Do not invent an account-balance or
top-up tool. Do not make `wallet.get` a required step before every paid submit.
When a model card comes back carrying a `top_up` block, relay its tiers as the
card lists them and in that order. Do not rank them, do not talk one down, and
do not pick one for the user. Which tier suits them is their call, made on
the wallet page with the whole list in front of them. Never quote a tier from
memory.
## References by task
- Read [Founder avatar workflow](references/workflow.md) for clone,
narration, admission cards, payloads, and review.
- Read [Installation and authentication](references/installation-and-auth.md)
only when authorization needs attention.
- Read [Installation registration](references/installation-registration.md)
for first-use registration.
- Read [Tasks and results](references/tasks-and-results.md) and
[Billing, errors, and recovery](references/billing-errors-and-recovery.md)
for task and billing facts.
- Read [Bundled MCP Client diagnostics](references/mcp-connection.md) when
the bundled client cannot connect.
- Read [Automatic updates and safety](references/automatic-updates-and-safety.md)
for update controls.
- Read [Uninstall and disconnect](references/uninstall-and-disconnect.md)
only when the user asks to remove the package.
## Runtime and safe automatic updates
Use or invoke the bundled `scripts/mcp_client.py` for every Beatra operation.
Before ordinary commands it silently checks for a newer release at most once
every 24 hours per installation. Silent checks are enabled by default, and a
newer release installs without separate confirmation.
The updater accepts only the fixed official discovery address and immutable
Beatra CDN path embedded for this package, channel, and locale. It verifies
the discovery data, archive, manifest, and every file's size and checksum
before replacement. It replaces only package-owned files and rejects
redirects, downgrades, wrong package/channel/locale/version data, unexpected
URLs, unsafe archives, and files outside the owned destination.
Update checks, downloads, verification, replacement, rollback, and recovery
fail open: the current installation remains usable and the user's original
command continues. An update failure never authorizes retrying a paid
generation. The automatic-update choice persists across later commands for
this installation:
```text
python3 scripts/mcp_client.py update --auto off
python3 scripts/mcp_client.py update --auto on
python3 scripts/mcp_client.py update --check
```